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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Blinding01:11

Blinding

Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
Group Design02:01

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

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Instrument selection for randomized controlled trials: why this and not that?

Kathie Records1, Colleen Keller, Barbara Ainsworth

  • 1College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ 85004, United States. kathie.records@asu.edu

Contemporary Clinical Trials
|October 12, 2011
PubMed
Summary
This summary is machine-generated.

Selecting appropriate survey instruments is crucial for rigorous quantitative research, especially for diverse populations. This study details instrument selection rationale for postpartum Latinas, aiding researchers in choosing the best measures.

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Area of Science:

  • Quantitative Research Methodology
  • Health Disparities Research
  • Psychometrics

Background:

  • Rigorous quantitative research relies heavily on appropriate survey instrument selection.
  • Existing guidance for scale development and selection often lacks detailed theoretical rationale, particularly for specific cultural groups.
  • Ensuring validity requires linking phenomena, empirical measures, and participant worldviews.

Purpose of the Study:

  • To detail the rationale for selecting survey instruments in a study of postpartum Latinas (Madres para la Salud).
  • To provide a framework for instrument selection in studies involving specific cultural, ethnic, or racial groups.
  • To enhance the rigor and outcome assessment of intervention research.

Main Methods:

  • The paper outlines the selection process for instruments measuring intervention, mediator, moderator, and outcome variables.
  • It discusses alternative instruments considered during the selection process.
  • The focus is on the theoretical justification for the chosen measures within the study context.

Main Results:

  • The study provides a detailed rationale for instrument choices in the Madres para la Salud project.
  • It highlights the challenges and considerations for selecting instruments for specific populations.
  • Exemplars are offered to guide other researchers.

Conclusions:

  • Thoughtful instrument selection and clear articulation of rationale are essential for maintaining research rigor.
  • This approach improves the ability to accurately assess study outcomes, especially in diverse populations.
  • The paper serves as a guide for researchers needing to select or develop instruments for specific cultural contexts.